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DBMS > EventStoreDB vs. NSDb vs. Pinecone

System Properties Comparison EventStoreDB vs. NSDb vs. Pinecone

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonNSDb  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA managed, cloud-native vector database
Primary database modelEvent StoreTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#181  Overall
#1  Event Stores
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Websitewww.eventstore.comnsdb.iowww.pinecone.io
Technical documentationdevelopers.eventstore.comnsdb.io/­Architecturedocs.pinecone.io/­docs/­overview
DeveloperEvent Store LimitedPinecone Systems, Inc
Initial release201220172019
Current release21.2, February 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, Scala
Server operating systemsLinux
Windows
Linux
macOS
hosted
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringString, Number, Boolean
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageno
APIs and other access methodsgRPC
HTTP REST
WebSocket
RESTful HTTP API
Supported programming languagesJava
Scala
Python
Server-side scripts infoStored proceduresno
Partitioning methods infoMethods for storing different data on different nodesSharding
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no

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More resources
EventStoreDBNSDbPinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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